45 lines
2.8 KiB
JSON
45 lines
2.8 KiB
JSON
{
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"$schema": "internal://schemas/plugin.lock.v1.json",
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"pluginId": "gh:ccplugins/awesome-claude-code-plugins:plugins/ai-engineer",
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"normalized": {
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"repo": null,
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"ref": "refs/tags/v20251128.0",
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"commit": "27e2f50f0ba02befdc00e5db325e900f4790dc6d",
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"treeHash": "05080d7f4ee243ded4bac18e04d2b3e0d1d0fe019fc5f4e88694d078ea6f976f",
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"generatedAt": "2025-11-28T10:14:38.828601Z",
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"toolVersion": "publish_plugins.py@0.2.0"
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},
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"origin": {
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"remote": "git@github.com:zhongweili/42plugin-data.git",
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"branch": "master",
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"commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390",
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"repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data"
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},
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"manifest": {
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"name": "ai-engineer",
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"description": "Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\\n\\n<example>\\nContext: Adding AI features to an app\\nuser: \"We need AI-powered content recommendations\"\\nassistant: \"I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior.\"\\n<commentary>\\nRecommendation systems require careful ML implementation and continuous learning capabilities.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Integrating language models\\nuser: \"Add an AI chatbot to help users navigate our app\"\\nassistant: \"I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling.\"\\n<commentary>\\nLLM integration requires expertise in prompt design, token management, and response streaming.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: Implementing computer vision features\\nuser: \"Users should be able to search products by taking a photo\"\\nassistant: \"I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching.\"\\n<commentary>\\nComputer vision features require efficient processing and accurate model selection.\\n</commentary>\\n</example>",
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"version": "1.0.0"
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},
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"content": {
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"files": [
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{
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"path": "README.md",
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"sha256": "b7e54d68b5f1d9586633540108e14d2a74504cbc5ab8ac460f2bdc6b086ac567"
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},
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{
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"path": "agents/ai-engineer.md",
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"sha256": "536d8c08ad3ef96359f14b96307a4606e8c41b00db48ebcb02e85ce5b6bb3534"
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},
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{
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"path": ".claude-plugin/plugin.json",
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"sha256": "43ad1624ec36b539dab03752ab811a7c76d9bde8251dc93bdd72d9137f738197"
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}
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],
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"security": {
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}
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} |